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The Future of Survey Sampling: How Technology is Leading a Breakthrough with Douglas Johnson of IDinsight

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Manage episode 490980666 series 3601155
Content provided by Marta Costa. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Marta Costa or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
In this episode of Survey & Beyond: The Data Collection Podcast, host Marta Costa is joined by Douglas Johnson, a Senior Statistician on the Technical Team at IDinsight. Together, they share groundbreaking approaches to survey sampling that balance rigor with cost-effectiveness, especially in regions where traditional census data is unavailable or unreliable.
What You’ll Learn:

  • How traditional sampling methods like the "right-hand rule" fall short in delivering replicable, unbiased results
  • Why satellite imagery and rooftop data are transforming household survey sampling methodology
  • The practical implementation of rooftop sampling and how it improves upon conventional approaches
  • How grid-based sampling works and when it's most appropriate to use
  • The technical requirements and organizational considerations for implementing new sampling methods
  • Why AI and technology will enhance but not replace human-conducted household surveys
Douglas Johnson is a Senior Statistician on the Technical Team at IDinsight, specializing in survey sampling methodology and data quality improvement for global development research. With extensive expertise in statistical analysis and survey design, he leads innovative work through IDinsight's Data Delta initiative, which aims to make household surveys better, faster, and more cost-effective. Johnson has pioneered new approaches to survey sampling, including rooftop sampling methodology, and has worked with organizations like Meta, the World Bank, and UNICEF to revolutionize data collection in hard-to-reach areas.
If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcasts, Spotify and Youtube Podcasts, instructions on how to do this are here.
Episode Highlights:
  • 0:00 Intro
  • 2:27 Why Traditional Sampling Is Broken
  • 4:44 Why Satellite Imagery Changes the Game
  • 6:42 The Right-Hand Rule Debunked
  • 10:37 The Road to Rooftop Sampling
  • 13:08 Lessons From the Field
  • 16:04 Is Grid-Based Sampling Worth It?
  • 19:19 Skills and Tools You’ll Need
  • 25:00 The Future of Sampling
  • 26:56 AI and the Role of Human Interaction

Episode Resources:


Guest Resources:
  • Right-hand rule sampling
    • Blog post on why right-hand rule sampling leads to biased results
  • Grid-based sampling
    • Blog post introducing grid-based sampling
    • Blog post on lessons learned using grid-based sampling
    • Code to implement grid-based sampling
    • Additional code to cluster grids
  • Rooftop sampling
  • Voter roll sampling
    • Academic paper showing that voter rolls have high coverage in rural India

Survey & Beyond: The Data Collection Podcast is handcrafted by our friends over at: fame.so

Check out our most downloaded episode:

  • From Data to Insights: Andrew Gerhardt on Mastering Digital Analytics
  • Transforming Communities through Data: Insights from Paul Nzerebende of Human Trafficking Institute
  • Creating Impactful Data Stories with Lara Mikhail of USAID Egyptian Pioneers
  continue reading

15 episodes

Artwork
iconShare
 
Manage episode 490980666 series 3601155
Content provided by Marta Costa. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Marta Costa or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
In this episode of Survey & Beyond: The Data Collection Podcast, host Marta Costa is joined by Douglas Johnson, a Senior Statistician on the Technical Team at IDinsight. Together, they share groundbreaking approaches to survey sampling that balance rigor with cost-effectiveness, especially in regions where traditional census data is unavailable or unreliable.
What You’ll Learn:

  • How traditional sampling methods like the "right-hand rule" fall short in delivering replicable, unbiased results
  • Why satellite imagery and rooftop data are transforming household survey sampling methodology
  • The practical implementation of rooftop sampling and how it improves upon conventional approaches
  • How grid-based sampling works and when it's most appropriate to use
  • The technical requirements and organizational considerations for implementing new sampling methods
  • Why AI and technology will enhance but not replace human-conducted household surveys
Douglas Johnson is a Senior Statistician on the Technical Team at IDinsight, specializing in survey sampling methodology and data quality improvement for global development research. With extensive expertise in statistical analysis and survey design, he leads innovative work through IDinsight's Data Delta initiative, which aims to make household surveys better, faster, and more cost-effective. Johnson has pioneered new approaches to survey sampling, including rooftop sampling methodology, and has worked with organizations like Meta, the World Bank, and UNICEF to revolutionize data collection in hard-to-reach areas.
If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcasts, Spotify and Youtube Podcasts, instructions on how to do this are here.
Episode Highlights:
  • 0:00 Intro
  • 2:27 Why Traditional Sampling Is Broken
  • 4:44 Why Satellite Imagery Changes the Game
  • 6:42 The Right-Hand Rule Debunked
  • 10:37 The Road to Rooftop Sampling
  • 13:08 Lessons From the Field
  • 16:04 Is Grid-Based Sampling Worth It?
  • 19:19 Skills and Tools You’ll Need
  • 25:00 The Future of Sampling
  • 26:56 AI and the Role of Human Interaction

Episode Resources:


Guest Resources:
  • Right-hand rule sampling
    • Blog post on why right-hand rule sampling leads to biased results
  • Grid-based sampling
    • Blog post introducing grid-based sampling
    • Blog post on lessons learned using grid-based sampling
    • Code to implement grid-based sampling
    • Additional code to cluster grids
  • Rooftop sampling
  • Voter roll sampling
    • Academic paper showing that voter rolls have high coverage in rural India

Survey & Beyond: The Data Collection Podcast is handcrafted by our friends over at: fame.so

Check out our most downloaded episode:

  • From Data to Insights: Andrew Gerhardt on Mastering Digital Analytics
  • Transforming Communities through Data: Insights from Paul Nzerebende of Human Trafficking Institute
  • Creating Impactful Data Stories with Lara Mikhail of USAID Egyptian Pioneers
  continue reading

15 episodes

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